Emojive! Collecting Emotion Data from Speech and Facial Expression Using Mobile Game App
@inproceedings{Park2017EmojiveCE, title={Emojive! Collecting Emotion Data from Speech and Facial Expression Using Mobile Game App}, author={J. Park and Nayeon Lee and D. Bertero and Anik Dey and Pascale Fung}, booktitle={INTERSPEECH}, year={2017} }
We developed Emojive!, a mobile game app to make emotion recognition from audio and image interactive and fun, motivating the users to play with the app. The game is to act out a specific emotion, among six emotion labels (happy, sad, anger, anxiety, loneliness, criticism), given by the system. Double player mode lets two people to compete their acting skills. The more users play the game, the more emotion-labelled data will be acquired. We are using deep Convolutional Neural Network (CNN… CONTINUE READING
2 Citations
References
SHOWING 1-4 OF 4 REFERENCES
Real-Time Speech Emotion and Sentiment Recognition for Interactive Dialogue Systems
- Computer Science
- EMNLP
- 2016
- 50
- PDF
Action unit selective feature maps in deep networks for facial expression recognition
- Computer Science
- 2017 International Joint Conference on Neural Networks (IJCNN)
- 2017
- 24
Mobile Application for Noise Pollution Monitoring through Gamification Techniques
- Computer Science
- ICEC
- 2012
- 62
- PDF
Effects of gamification on participation and data quality in a real-world market research domain
- Engineering, Computer Science
- Gamification
- 2013
- 75
- PDF